Archive for Tachikawa

back from Japan [flotsam, jetsam, lagan, and derelict]

Posted in Books, Mountains, pictures, Running, Travel with tags , , , , , , , , , , , , , , , , , , , , , , , , , , , , , on August 8, 2026 by xi'an

Our last day in Japan was wrecked by Japan Airlines, as our JAL flight from Sapporo to Tokyo Haneda got delayed by five hours… The worst part was being kept in the dark about the delay till the initial departure time and then more as the actual departure time was only given hours later. An opportunity to find out that EU rules about flight compensations and passenger rights do not have a Japanese equivalent..! The only plus side of spending the day at the airport was enjoying a sashimi meal at the Sapporo airport. The next day, the erupting Krasheninnikov volcano in Kamtchatka caused a slight change of flight on the way (North!) back to Paris but Air France still managed a 45mn gain on the planned arrival time. And hardly any jetlag in the following days, as opposed to the unusually long accustomisation through the nights in Nagoya and Tachikawa.

This was the only major hitch of our trip, besides a rental car delay for missing the official translation of our driving licences. Visiting both the Japanese Alps and the island of Hokkaido was a fantastic opportunity, thanks to ISBA 2026. Along enjoying the views and hikes in both locations, I could not refrain from making a connection between the geographies and histories of the Ainus on Hokkaido and of the Haidas in the Pacific Northwest, as they both got colonised and forcibly integrated at about the same epoch, with salmon canning companies enslaving them. The settlers were demoted Union soldiers in one case and former samurais (tondenhei) in the other. Small towns on Hokkaido had some similarities with those of the American and Canadian West, with one-street layout and plenty of space between houses, except for these spaces being intensely cultivated as all of the valleys I saw during that trip. (But very little wildlife, with a single sorry-looking fox, two fleeing monkeys, a single, inquisitive, squirrel, a few deers and no bear.)

On the mountains (and volcanoes) trails, I was impressed by the involvement and preparedness of most Japanese hikers, often quite senior, in climbing volcanoes and facing bear encounters, which also made me discover a very nice local outdoor brand, Mont Bell. (Also finding out that TNF Japan© is a separate franchise with its own products.) And adopt the hiking uniform of wearing shorts and tights, which proved surprisingly comfortable!

Due to a thrombosis scare, I further had the opportunity to visit (again!) the local hospital in Omachi, Nagoya Prefecture, if getting there by bike rather than by water-ambulance. With hugely efficient processing despite the language barrier (except for the doctor with whom I briefly spoke of Mont-Saint-Michel!). And the conclusion of no thrombosis, phew!

ISBA Satellite Meeting 2026 [overview]

Posted in pictures, Statistics, Travel, University life with tags , , , , , , , , , , , on July 30, 2026 by xi'an

At the Akaike Guest House

Posted in pictures, Statistics, Travel, University life with tags , , , , , , , , , , , , , on July 26, 2026 by xi'an

Information Geometry, Privacy and Monte Carlo workshop, ISM, 6-7 July 2026

Posted in Mountains, pictures, Statistics, Travel, University life with tags , , , , , , , , , , , , , , , , , , , , , , , , , , , , , on July 8, 2026 by xi'an

Although some of the participants of the workshop left for ICML²⁶ or the 4th Bayesian Nonparametrics networking workshop, both taking place in Seoul this week, the following days of the workshop were as intense and captivating as the first two, with a return to MCMC “basics” but also more geometrical and maethematical aspects.

To wit, Radu Craiu talked on MCMC for DAG processes with revisiting the landmark paper of Geyer & Møller (1994) on replacing discrete time MCMC with a birth & death process and cutting on complexity by restricted set imposing some edges, set from a redetermined run. Galin Jones presented some (novel) Lower bounds on the rate of convergence for accept-reject-based Markov chains in Wasserstein and total variation distances, showing the massive dependence of the convergence rates on the scaling factors of the proposal, especially in relation with the data size n when considering posterior targets. James Flegal discussed Simultaneous confidence bands for (MC)MC simulations that aimed at returning a confidence band on marginal density estimates; it reminded me of our 2005 simultaneous coverage paper with Wilfrid Kendall and Jean-Michel Marin and got me wondering why not going full Bayes by adopting a GP prior modelling.

Michiko Okudo spoke about Applications of information geometry to Bayesian prediction and estimation in curved exponential families, returning to point estimation with a mention of Marchand & Strawderman (2025)! Marta Catalano presented results on Distances on random measures for Bayesian nonparametrics, involving random measures like Dirichlet processes, that was connected with Hugo Lavenant’s talk at ISBA, but more focussed on the mathematical aspects albeit algorithmic aspects were mentioned. With highly intuitive arguments (making the accronym WoW for Wasserstein on Wasserstein quite appropriate!).

Takemasa Miyoshi made a presentation of the Osaka Expo 2025 Weather [prediction] on Fugaku: Synergizing Big Data Assimilation and AIRIKEN, with impressive predictive abilities achieved using RIKEN super-computer (but no technical details). Björn Sprung exposed how they obtained Dimension-independent MCMC [convergence speed] on the sphere, using retroprojections of random walks outside the sphere (as in Frederica’s talk yesterday), which comes as a surprise given the deterioration of random walk performances with increasing dimensions.

Geoffrey Wolfer’s Characterization of Exponential Families of Lumpable Stochastic Matrices was a very mathematical talk set firmly in the Japanese probability school, going too fast with too many new definitions for my abilities (and attention span) but setting the scene for exponential families on stochastic matrices and being one of the rate cases I eve rsaw lumpability à la Kemeny & Snell (1983) mentionned! Daniel Paulin followed with Stochastic gradient Langevin dynamics: convergence and bias, via an UBU algorithm using splitting integrators that sound very much like the leapfrog for an HMC with unscented Langevin steps where the gradient is replaced with an unbiased estimator (connecting to the poster of Jack Jewson on Sunday, when he mentioned the opposition between pseudo-marginal MCMC, requiring an unbiased estimator of the target, and schemes using the log-target, for which unbiased estimators of the log can be used). Shahab Asoodeh concluded Monday with Recent Advances in Metropolis-Hastings Algorithms, actually developing multi-marginal coupling with freely coupling chains.

On the final morning, Weiming Feng showed results about a Faster mixing of the Jerrum-Sinclair chain, reminding me of the 1989 paper, with a Metropolis algorithm on graphs allowing for specific mixing time results with spectral gap and log-Sobolev inequalities (and a Poincáre typo!). Michael Choi produced convergence properties by Optimising two-block averaging kernels to speed up Markov chains, with a (rather formal) Gibbs sampler on orbits (in a finite state space) again connecting to Jerrum.

Yuga Iguchi discussed Diffusion models for high-dimensional clustered data: Intrinsic-dimension adaptivity via Bayesian classification, producing a rigorous characterisation of the phase transition property of their diffusion denoising probabilistic model when the target is a mixture with separation constraints on the components, phase transition meaning that eventually concentrating on a single cluster as the forward diffusion moves toward pure noise. (Although being fully awake, having mostly recovered from the longest jetlag period ever, I had trouble understanding the process per se.) Edric Tam discussed Fundamental Limits to Neural Monte Carlo by returning to standard variance reduction techniques like stratifying and antithetic-ying (!) and applying normalising flows on them. Victor Elvira concluded the meeting by Rethinking self-normalized importance sampling, with a fun interlude of Eric Veach’s Oscars joke, but I unfortunately had to miss the end to gather my bags and leave for the Alps! But Victor should be in Paris in the Fall and hopfefully giving a talk at mostly Monte Carlo!

This workshop was most efficiently supported by the Institute of Statistical Mathematics and its staff, including over the weekend days! On a personal foodie note, the coffee breaks featured the same unbelievable matcha cakes (“Chez Kobe”) as at ISBA²⁶, we enjoyed a terrific full tofu dinner at Umenohana Tachikawa shop and there were plenty French (or pseudo-French) bakeries in Tachekima, enough to find rye (raimugi) bread for breakfast!

Information Geometry, Privacy and Monte Carlo workshop, ISM, 4-5 July 2026

Posted in Mountains, pictures, Statistics, Travel, University life with tags , , , , , , , , , , , , , , , , , , , on July 6, 2026 by xi'an

After the (exciting) variety and spread of ISBA²⁶, here we are at much more focussed (and single-track), if equally exciting, workshop at the ISM. (With many participants from ISBA²⁶.)

On Saturday afternoon, Ajay Jasra talked about Particle filtering for state-space models with low, degenerate noise, with specific measure issues I did not really get, since the manifold attached to the noise was known, but the projected density may prove a challenge. Manifolds were also central to Kenji Fukumizu’s talk on Learning manifold structure and density with score-based models learning scores as projectors to the manifold, although it was unclear to me how this was possible when the manifold is unknown. Christophe Andrieu presented Geometry informed selection in multiple proposal MCMC which stems from an early multi-proposal (1998) proposal by Radford Neal and uses a multivariate ranking procedure to quantify a measure of surprise for the current  Markov chain value within the proposed ones. The crux for the efficiency of the approach may be in the choice of this ranking procedure. And Maria De Iorio talked about Efficient MCMC via similarity-driven proposals for discrete support targets, with similarities with ABC.

Completed with a human sized poster session where I reconnected with Spanish friends I had not seen for ages (by missing OBayes meetings).

On (pleasantly rainy) Sunday morning, Federica Milinanni detailled her Rapid mixing of stereographic MCMC for heavy-tailed sampling, essentially the same content as in Nagoya last FRiday, with a novel sub-Cauchy projection supposed to explore heavy tails better: while the regular stereographic projection turns the t-distribution with d degrees of freedom into a Uniform on the hypersphere, a sub-Cauchy projection turns the Cauchy into this uniform. In the privacy session I organised, Hongsheng Dai, member of our ERC Synergy project, presented an Online federated learning framework for classification, using DP as a criterion and achieving by adding noise to the loss function at each occurrence of the data production. Surprisingly increasing with the number of occurrences, not so much since the objective function keeps calling

Stefano Favaro described his Bayesian nonparametric privacy-preserving synthetic data generation method (for discrete data) that connects privacy protection and information preservation. (Incidentally I was unaware of the σ parameter of the Pitman-Yor process, which allows for a finite support when σ<0, but I cannot fathom the appeal of this extension, given the complete lack of connection between the positive and negative cases.) Surprisingly, non-parametric prediction does worse in terms of privacy, if not so surprising with discrete data since the predictive actually put weight on every datapoint. Resorting to  mechanism informativity by Wasserman and Zhou (2010) (with a surprise mention of my friend Arnaud Guilin!). And Joshua Bon gave his Persuasive Privacy talk of last Tuesday  (to be re-repeated two days later at ICML²⁶ in Seoul!). Except for changing the audience game from croissants to sumo wrestlers! (What will it be in Seoul!?) And adding much more details on the foundational elements of persuasive privacy.

The poster session was similarly enjoyable, even though I did not manage to get through all posters.